S100A1 as a potential biomarker for the diagnosis of patients with acute aortic dissection

Objective Acute aortic dissection (AAD) is a common life-threatening cardiovascular disease. This retrospective study was conducted to analyze the plasma concentration of S100A1 and its diagnostic value for AAD through receiver operating characteristic (ROC) curve and logistic regression analyses. Methods Seventy-eight patients with AAD and 77 healthy controls were included, and the relevant clinical data for each group were collected. According to the Stanford classification, the AAD patients were divided into types A and B. The plasma levels of S100A1, D-dimer, hypersensitive C-reactive protein, and cardiac troponin T were detected by enzyme-linked immunosorbent assays. Results The S100A1 concentrations in the healthy control, Stanford A, and Stanford B groups were 0.7 ± 0.6, 4.9 ± 2.6, and 3.5 ± 2.2 ng/mL, respectively. The concentration of S100A1 was increased in patients with AAD complicated with aortic regurgitation, pericardial effusion, or in-hospital death. ROC curve analysis showed that the area under the curve was 0.89. Logistic regression analysis revealed that the S100A1 level was an important risk factor for the development of AAD. Conclusion Plasma S100A1 is significantly elevated in patients with AAD, and its concentration has potential clinical value for diagnosing AAD.

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Ischemia-Modified Albumin As a Marker for Acute Aortic Dissection: A Prospective Observational Study

10.21203/rs.3.rs-588867/v1 ◽

2021 ◽

Author(s):

Yang zhou ◽

Xiangping Chai ◽

Huaping He ◽

Wen Peng ◽

Guifang Yang ◽

...

Keyword(s):

Aortic Dissection ◽

Prospective Observational Study ◽

Acute Aortic Dissection ◽

Area Under The Curve ◽

Cost Effective ◽

Final Diagnosis ◽

Net Benefit ◽

Ischemia Modified Albumin ◽

Potential Biomarker ◽

Cobalt Binding

Abstract Background: Delayed or misdiagnosed aortic dissection can lead to death and morbidity. Ischemia-modified albumin (IMA) measures the cobalt binding capability and has been associated with mortality in patients with acute aortic dissection (AAD). However, it is unknown whether IMA levels can differentiate AAD in patients with chest pains.Methods: A total of 100 suspected AAD patients were enrolled in this study. A cobalt-binding assay was used to determine the plasma IMA levels. In addition, the IMA levels of patients in different groups were compared based on the final diagnosis. Results: IMA levels were significantly higher in the AAD group than in the AMI, PE, and other groups (63.98 ± 14.38, 52.57 ± 9.54, 49.26 ± 10.99, 37.99 ± 6.59, respectively) within 24 hours after the onset of symptoms. The area under the curve (AUC) based on the IMA level was 0.810 (95% CI, 0.708–0.897), and the best threshold of IMA was 59.35 u/ml (specificity, 85.7% and sensitivity, 66%). The decision and clinical impact curves indicated that the IMA had an excellent standardized net benefit and could be suitable for patient diagnosis.Conclusion: IMA is elevated in AAD patients. The IMA levels have better performance for AAD than D-dimer and could be a potential biomarker with rapid and cost-effective diagnostic tests for early diagnosis of AAD. However, large-sample studies are needed to verify the findings.

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Association Between D-Dimer Level and In-Hospital Death of Pulmonary Embolism Patients

Dose-Response ◽

10.1177/1559325820968430 ◽

2020 ◽

Vol 18 (4) ◽

pp. 155932582096843

Author(s):

Zi-Kai Song ◽

Haidi Wu ◽

Xiaoyan Xu ◽

Hongyan Cao ◽

Qi Wei ◽

...

Keyword(s):

Pulmonary Embolism ◽

Logistic Regression ◽

Regression Analysis ◽

Roc Curve ◽

Curve Analysis ◽

Hospital Death ◽

Roc Curve Analysis ◽

Survival Group ◽

Death Group ◽

D Dimer

To investigate whether D-dimer level could predict pulmonary embolism (PE) severity and in-hospital death, a total of 272 patients with PE were divided into a survival group (n = 249) and a death group (n = 23). Comparisons of patient characteristics between the 2 groups were performed using Mann-Whitney U test. Significant variables in univariate analysis were entered into multivariate logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was performed to determine the predictive value of D-dimer level alone or together with the simplified Pulmonary Embolism Severity Index (sPESI) for in-hospital death. Results showed that patients in the death group were significantly more likely to have hypotension (P = 0.008), tachycardia (P = 0.000), elevated D-dimer level (P = 0.003), and a higher sPESI (P = 0.002) than those in the survival group. Multivariable logistic regression analysis showed that D-dimer level was an independent predictor of in-hospital death (OR = 1.07; 95% CI, 1.003-1.143; P = 0.041). ROC curve analysis showed that when D-dimer level was 3.175 ng/ml, predicted death sensitivity and specificity were 0.913 and 0.357, respectively; and when combined with sPESI, specificity (0.838) and area under the curve (0.740) were increased. Thus, D-dimer level is associated with in-hospital death due to PE; and the combination with sPESI can improve the prediction level.

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Tumor-Educated Platelet miR-18a-3p as a Novel Liquid-Biopsy Biomarker for Early Diagnosis and Chemotherapy Efficacy Monitoring in Nasopharyngeal Carcinoma

Frontiers in Oncology ◽

10.3389/fonc.2021.736412 ◽

2021 ◽

Vol 11 ◽

Author(s):

Kaiyu Sun ◽

Hui Wang ◽

Xianqun Xu ◽

Xiuqi Wei ◽

Jingyu Su ◽

...

Keyword(s):

Nasopharyngeal Carcinoma ◽

Early Diagnosis ◽

Roc Curve ◽

Liquid Biopsy ◽

Area Under The Curve ◽

Curve Analysis ◽

Clinical Value ◽

Roc Curve Analysis ◽

Expression Levels ◽

Chemotherapy Efficacy

AimsTo evaluate the value of tumor-educated platelet (TEP) miR-18a-3p in the early diagnosis and chemotherapy efficacy monitoring of nasopharyngeal carcinoma (NPC).MethodsExpression levels of miR-18a-3p in platelets and plasma were detected by relative quantitative real-time PCR in NPC patients (n=54) and normal subjects (n=36). Diagnostic values of TEP miR-18a-3p for NPC was assessed by receiver operating characteristic (ROC) curve analysis. Follow up study was carried out to observe the dynamic changes of TEP miR-18a-3p with chemotherapy on 3 NPC patients.ResultsThe expression levels of TEP miR-18a-3p in NPC patients were significantly higher than that in healthy controls (p < 0.0001). ROC curve analysis showed that the area under the curve (AUC) value was 0.841, the sensitivity and specificity for the diagnosis of NPC were 87% and 72.7%. No correlation was found between expression levels of TEP miR-18a-3p and patients’ clinical parameters and their NPC tumor-node-metastasis (TNM) stage. The positive rate of TEP miR-18a-3p and EBV DNA for NPC diagnosis were 85.4% and 66.7%. TEP miR-18a-3p expression were down-regulated after 77.8% (7 of 9) of chemotherapy, and in 66.7% (2 of 3) patients, TEP miR-18a-3p levels decreased after 3 cycles of chemotherapy.ConclusionThe expression levels of TEP miR-18a-3p are upregulated in NPC and have a high probability to downregulated after chemotherapy, indicating a significant clinical value. TEP miR-18a-3p might serve as a novel type of liquid-biopsy biomarker for early diagnosis and chemotherapy efficacy monitoring in NPC.

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Ischemia-Modified Albumin As A Marker For Acute Aortic Dissection: A Prospective Observational Study

10.21203/rs.3.rs-588867/v2 ◽

2021 ◽

Author(s):

Yang zhou ◽

Xiangping Chai ◽

Huaping He ◽

Wen Peng ◽

Guifang Yang ◽

...

Keyword(s):

Aortic Dissection ◽

Prospective Observational Study ◽

Acute Aortic Dissection ◽

Area Under The Curve ◽

Cost Effective ◽

Final Diagnosis ◽

Net Benefit ◽

Ischemia Modified Albumin ◽

Potential Biomarker ◽

Cobalt Binding

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Serum amyloid a protein as a potential biomarker in predicting acute onset and association with in-hospital death in acute aortic dissection

BMC Cardiovascular Disorders ◽

10.1186/s12872-019-1267-0 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 1

Author(s):

Yuchen He ◽

Changcheng Ma ◽

Jia Xing ◽

Shiyue Wang ◽

Chao Ji ◽

...

Keyword(s):

Aortic Dissection ◽

Hospital Mortality ◽

Serum Amyloid A ◽

Acute Aortic Dissection ◽

Serum Amyloid ◽

Hospital Death ◽

Enzyme Linked Immunosorbent Assay ◽

Amyloid A ◽

Potential Biomarker ◽

Serum Amyloid A Protein

Abstract Background Acute aortic dissection (AAD) is a life-threatening disorder in vascular surgery with a high early mortality. Serum amyloid A (SAA) is a kind of acute-phase protein with a rapid diagnostic value in other diseases. However, the researches on the performance of SAA for the diagnosis of AAD is still lacking. This retrospective study aimed to evaluate the SAA levels and further explore its potential diagnostic role in AAD patients. Methods SAA levels were measured by enzyme-linked immunosorbent assay (ELISA) in 63 controls and 87 AAD patients. Laboratory examinations were also performed. And relative clinical information was collected from participants included in this study. Results SAA levels were significantly higher in AAD patients than those in healthy controls. SAA levels were independently associated with the risk of AAD. There was a positive significant correlation between SAA and C reactive protein (R = 0.442, and P = 0.001). Based on receiver-operating characteristic (ROC) analysis, the area under the curve (AUC) of SAA for the diagnosis of AAD were 0.942 with optimal cut-off points of 0.427 mg/L. For in-hospital mortality, the AUC of SAA were 0.732 with optimal cut-off points of 0.500 mg/L. According to logistic regression analysis, higher SAA levels represent a higher risk of in-hospital mortality (OR = 1.25; 95%CI: 1.07–1.47; P = 0.005). Conclusion Our findings demonstrated that SAA levels were significantly enhanced in AAD. SAA was closely correlated with inflammatory parameters and coagulation-related parameters in AAD. Furthermore, SAA could be a potential bio-marker for identifying AAD in the early diagnosis. Finally, SAA > 5.0 mg/L are independently related to AAD in-hospital mortality.

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Angiopoietin 2 as a Novel Potential Biomarker for Acute Aortic Dissection

Frontiers in Cardiovascular Medicine ◽

10.3389/fcvm.2021.743519 ◽

2021 ◽

Vol 8 ◽

Author(s):

Bi Huang ◽

Li Tian ◽

Zhaoran Chen ◽

Liang Zhang ◽

Wenjun Su ◽

...

Keyword(s):

Aortic Dissection ◽

Acute Aortic Dissection ◽

Characteristic Curve ◽

Bioinformatic Analysis ◽

Enzyme Linked Immunosorbent Assay ◽

Aortic Tissue ◽

Roc Curve Analysis ◽

Qrt Pcr ◽

Potential Biomarker ◽

Angiopoietin 2

Biomarker-assisted diagnosis of acute aortic dissection (AAD) is important for initiation of treatment and improved survival. However, identification of biomarkers for AAD in blood is a challenging task. The present study aims to find the potential AAD biomarkers using a transcriptomic strategy. Arrays based genome-wide gene expression profiling were performed using ascending aortic tissues which were collected from AAD patients and healthy donors. The differentially expressed genes were validated using quantitative reverse transcriptase PCR (qRT-PCR) and western blot. The plasma levels of a potential biomarker, angiopoietin 2 (ANGPT2) were determined in case-control cohort (77 AAD patients and 82 healthy controls) by enzyme linked immunosorbent assay. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic power of ANGPT2 for AAD. Transcriptome data demonstrated that a total of 18 genes were significantly up-regulated and 28 genes were significantly down-regulated among AAD tissues (foldchange>3.0, p < 0.01). By bioinformatic analysis, we identified ANGPT2 as a candidate biomarker for blood-based detection of AAD. The qRT-PCR and protein expression demonstrated that ANGPT2 increased 2.4- and 4.2 folds, respectively in aortic tissue of AAD patients. Immunohistochemical staining demonstrated that ANGPT2 was markedly increased in intima of the aortic wall in AAD. Furthermore, ANGPT2 was significantly elevated in AAD patients as compared with controls (median 1625 vs. 383 pg/ml, p < 1E-6). ROC curve analysis showed that ANGPT2 was highly predictive of a diagnosis of type A AAD (area under curve 0.93, p < 1E-6). Sensitivity and specificity were 81 and 90%, respectively at the cutoff value of 833 pg/ml. In conclusion, ANGPT2 could be a promising biomarker for diagnosis of AAD; however, more studies are still needed to verify its specificity in diagnosing of AAD.

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Serum Uric Acid as a Potential Biomarker in Patients With Rheumatoid Arthritis-associated Interstitial Pneumonia (RA-ILD)

10.21203/rs.3.rs-708089/v1 ◽

2021 ◽

Author(s):

Zitao Wang ◽

Wen Wang ◽

Ting Xiang ◽

Bangdong Gong ◽

Jianmin Xie

Keyword(s):

Rheumatoid Arthritis ◽

Uric Acid ◽

Correlation Analysis ◽

Roc Curve ◽

Pulmonary Function Tests ◽

A549 Cells ◽

Area Under The Curve ◽

Spearman Correlation ◽

Roc Curve Analysis ◽

Potential Biomarker

Abstract Background: Uric acid (UA) has been reported participate in various inflammatory and autoimmune diseases. Increasing evidence has shown that UA also plays an important role in lung inflammation and fibrosis. We aimed to investigate the correlation between UA and rheumatoid arthritis (RA), especially rheumatoid arthritis-associated interstitial lung disease (RA-ILD).Methods: 266 RA patients and 138 healthy individuals were recruited in this study. RA was identified according to ACR/EULAR 2010 criteria. UA in serum and bronchoalveolar lavage fluid (BALF), as well as clinic and laboratory Indexes were collected from participants enrolled in the study. Serum KL-6 was measured via ELISA and then Spearman correlation analysis was used to analysing their association. Subsequent the receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to estimate the diagnostic value of UA in RA-ILD and UIP pattern of RA-ILD. HRCT and pulmonary function tests (PFT) were performed to evaluated the characteristics and pulmonary findings of RA patients. Furtherly, we validated the effect of UA on the EMT and the expression of cytokines in A549 cells. Results: Compared with healthy controls (HC), UA levels in serum was significantly higher in RA group (262.25±91.94 vs. 234.69±54.78µmol/L, P<0.01). Spearman correlation analysis revealed associations of SUA with risk factors of RA, including RF, anti-CCP, CRP and ESR (r=0.37, p=0.02; r=0.48, p<0.01; r=0.26, p<0.01; r=0.27, p<0.01). And higher UA was measured both in serum (291.81±102.42 vs. 252.38±6.15µmol/L, P<0.01) and BALF (393.3±222.6 vs. 204.0±120.3µmol/L, p<0.01) of RA-ILD patients, particularly those with UIP pattern (475.58±249.28 vs. 262.86±103.45µmol/L, p<0.01; 393.3±222.6 vs. 204.0±120.3µmol/L, p<0.01). Meanwhile, the correlation between the level of UA in serum and BALF and serum KL-6 concentration in RA were also significant (r=0.59, p<0.01; r=0.43, p<0.01). Also, the negative correlations of UA level, both in serum and BALF, with lung function parameters including FEV1/FVC and FEV1% predicted were measured (r=-0.78; r=-0.87, p<0.01). In the ROC curve analysis of AUC, the AUC value of UA was 0.76 (95%CI=0.66-0.87, p<0.01). The sensitivity and specificity were 60% and 92%, respectively. The vitro experiment showed that UA stimulated the EMT in A549 cells, as well as induced the expression of cytokines, such as IL-1, IL-6 and TGF-β, in lung epithelial cell.Conclusions: This study suggests that UA is correlated with the ILD in RA. Particularly, the higher UA levels may be related to UIP, a pattern with worse prognosis, in patients with ILD. Therefore, UA may be an important contributing factor to the pathogenesis of RA-ILD.

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Acute heart failure: predicting early in-hospital outcomes

European Journal of Preventive Cardiology ◽

10.1093/eurjpc/zwab061.019 ◽

2021 ◽

Vol 28 (Supplement_1) ◽

Author(s):

M Santos ◽

S Paula ◽

I Almeida ◽

H Santos ◽

H Miranda ◽

...

Keyword(s):

Heart Failure ◽

Logistic Regression ◽

Acute Heart Failure ◽

Roc Curve ◽

Real Life ◽

Study Data ◽

Curve Analysis ◽

Older Age ◽

Invasive Ventilation ◽

Roc Curve Analysis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Patients (P) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. The Get With The Guidelines Heart Failure score (GWTG-HF) predicts in-hospital mortality (M) of P admitted with AHF. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes. Objective To validate ACTION-ICU score in AHF and to compare ACTION-ICU to GWTG-HF as predictors of in-hospital M (IHM), early M [1-month mortality (1mM)] and 1-month readmission (1mRA), using real-life data. Methods Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with AHF between 2010 and 2017. P without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used chi-square, non-parametric tests, logistic regression analysis and ROC curve analysis. Results Among the 300 P admitted with AHF included, mean age was 67.4 ± 12.6 years old and 72.7% were male. Systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. ACTION-ICU score was 10.4 ± 2.3 and GWTG-HF was 41.7 ± 9.6. Inotropes’ usage was necessary in 32.7% of the P, 11.3% of the P needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the P were readmitted 1 month after discharge. Older age (p < 0.001), lower SBP (p = 0,035) and need of inotropes (p < 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p < 0.001). Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p < 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the variables were predictive of IV. LVEF (OR 0.924, p < 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p < 0.001, CI 0.971-0.988), higher urea (OR 1.01, p < 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors of inotropes’ usage. Logistic regression showed that GWTG-HF predicted IHM (OR 1.12, p < 0.001, CI 1.05-1.19), 1mM (OR 1.10, p = 1.10, CI 1.04-1.16) and inotropes’s usage (OR 1.06, p < 0.001, CI 1.03-1.10), however it was not predictive of 1mRA, need of IV or NIV. Similarly, ACTION-ICU predicted IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV. ROC curve analysis revealed that GWTG-HF score performed better than ACTION-ICU regarding IHM (AUC 0.774, CI 0.46-0-90 vs AUC 0.731, CI 0.59-0.88) and 1mM (AUC 0.727, CI 0.60-0.85 vs AUC 0.707, CI 0.58-0.84). Conclusion In our population, both scores were able to predict IHM, 1mM and inotropes’s usage.

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Aggrecan: a new biomarker for acute type A aortic dissection

Scientific Reports ◽

10.1038/s41598-021-89653-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Karl C. König ◽

Harald Lahm ◽

Martina Dreßen ◽

Stefanie A. Doppler ◽

Stefan Eichhorn ◽

...

Keyword(s):

Aortic Dissection ◽

Troponin T ◽

Type A ◽

Aortic Aneurysms ◽

Aortic Tissue ◽

Acute Type ◽

Type A Aortic Dissection ◽

Potential Biomarker ◽

Aortic Pathology ◽

Creatine Kinase Mb

AbstractAcute type A aortic dissection (ATAAD) constitutes a life-threatening aortic pathology with significant morbidity and mortality. Without surgical intervention the usual mortality rate averages between 1 and 2% per hour. Thus, an early diagnosis of ATAAD is of pivotal importance to direct the affected patients to the appropriate treatment. Preceding tests to find an appropriate biomarker showed among others an increased aggrecan (ACAN) mRNA expression in aortic tissue of ATAAD patients. As a consequence, we investigated whether ACAN is a potential biomarker for diagnosing ATAAD. Mean ACAN protein concentration showed a significantly higher plasma concentration in ATAAD patients (38.59 ng/mL, n = 33) compared to plasma of patients with thoracic aortic aneurysms (4.45 ng/mL, n = 13), patients with myocardial infarction (11.77 ng/mL, n = 18) and healthy volunteers (8.05 ng/mL, n = 12). Cardiac enzymes like creatine kinase MB and cardiac troponin T showed no correlation with ACAN levels in ATAAD patients. Receiver-operator characteristics (ROC) curve analysis for ATAAD patients versus control subjects an optimum discrimination limit of ACAN plasma levels at 14.3 ng/mL with a corresponding sensitivity of 97% and specificity of 81%. According to our findings ACAN is a reliable potential biomarker in plasma samples to detect ATAAD with high sensitivity and specificity.

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Predictive CT features for the diagnosis of primary pulmonary mucoepidermoid carcinoma: comparison with squamous cell carcinomas and adenocarcinomas

Cancer Imaging ◽

10.1186/s40644-020-00375-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xiaohua Ban ◽

Xinping Shen ◽

Huijun Hu ◽

Rong Zhang ◽

Chuanmiao Xie ◽

...

Keyword(s):

Logistic Regression ◽

Roc Curve ◽

Multinomial Logistic Regression ◽

Univariate Analysis ◽

Ct Imaging ◽

Squamous Cell Carcinomas ◽

Curve Analysis ◽

Imaging Features ◽

Roc Curve Analysis ◽

Ct Features

Abstract Background To determine the predictive CT imaging features for diagnosis in patients with primary pulmonary mucoepidermoid carcinomas (PMECs). Materials and methods CT imaging features of 37 patients with primary PMECs, 76 with squamous cell carcinomas (SCCs) and 78 with adenocarcinomas were retrospectively reviewed. The difference of CT features among the PMECs, SCCs and adenocarcinomas was analyzed using univariate analysis, followed by multinomial logistic regression and receiver operating characteristic (ROC) curve analysis. Results CT imaging features including tumor size, location, margin, shape, necrosis and degree of enhancement were significant different among the PMECs, SCCs and adenocarcinomas, as determined by univariate analysis (P < 0.05). Only lesion location, shape, margin and degree of enhancement remained independent factors in multinomial logistic regression analysis. ROC curve analysis showed that the area under curve of the obtained multinomial logistic regression model was 0.805 (95%CI: 0.704–0.906). Conclusion The prediction model derived from location, margin, shape and degree of enhancement can be used for preoperative diagnosis of PMECs.

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